{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,17]],"date-time":"2025-03-17T04:08:13Z","timestamp":1742184493360,"version":"3.38.0"},"reference-count":14,"publisher":"World Scientific Pub Co Pte Ltd","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Inf. Acquisition"],"published-print":{"date-parts":[[2011,6]]},"abstract":"<jats:p>This paper introduces an efficient Eigen values based technique for online iris image compression and identification of a human including the case of identical twins. The iris image is extracted after removing the pupil, eye brow, skin and other noise disturbances from an actual image. The extracted iris image is divided into different blocks of size of 16 \u00d7 16. Now, Eigen values are calculated for each block and these Eigen values are stored in the smart card memory for further identification.<\/jats:p><jats:p>Therefore, when checking if two iris images are identical or not, all we need is to compare the stored Eigen values with online calculated Eigen values. If two iris images have the same Eigen values, this means that both iris images belong to the same person. In our research, we have concluded that iris images of different persons have different Eigen values, including the case of identical twins. We conducted experiments on CASIA and Multimedia University iris image databases and we found that our Eigen Values Based Iris Image Identification Technique is giving 99.99% accuracy for the same image of identical twins and individuals. The implementation leads us to believe that our method is giving the best matching result in the case of identical twins and individuals. It is an efficient, secure and economically feasible approach for online personal identification.<\/jats:p>","DOI":"10.1142\/s0219878911002392","type":"journal-article","created":{"date-parts":[[2011,12,20]],"date-time":"2011-12-20T15:07:35Z","timestamp":1324393655000},"page":"133-152","source":"Crossref","is-referenced-by-count":2,"title":["AN EFFICIENT EIGEN VALUES BASED TECHNIQUE FOR ONLINE IRIS IMAGE COMPRESSION AND IDENTIFICATION"],"prefix":"10.1142","volume":"08","author":[{"given":"KAMTA NATH","family":"MISHRA","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Birla Institute of Technology Ranchi \u2014 Allahabad Campus, B-7, Industrial Area, Naini, Allahabad, U.P., India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"ANUPAM","family":"AGRAWAL","sequence":"additional","affiliation":[{"name":"Human \u2013 Computer Interaction Division, Indian Institute of Information Technology, Allahabad, U.P., India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"PRAKASH C.","family":"SRIVASTAVA","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Birla Institute of Technology Ranchi \u2014 Allahabad Campus, B-7, Industrial Area, Naini, Allahabad, U.P., India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"VIVEK","family":"TRIPATHI","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Birla Institute of Technology Ranchi \u2014 Allahabad Campus, B-7, Industrial Area, Naini, Allahabad, U.P., India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"VISHAL","family":"GUPTA","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Birla Institute of Technology Ranchi \u2014 Allahabad Campus, B-7, Industrial Area, Naini, Allahabad, U.P., India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2012,4,6]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1162\/089976603321780317"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2007.08.005"},{"volume-title":"Recognizing Persons by Their Iris Patterns. 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